LAAC-LSCP/Unsupervised_Metrics_CLD_Sy: Towards unsupervised metrics of child language development. Yaya Sy @ ef5c5be41b43bb0effe72152caf66c944710a4c6

yaya-sy 24feb5e9fd opensubtitles downloader only phonemes		2 سال پیش
..
.gitattributes	2702adb24e Apply YODA dataset setup	2 سال پیش
README.md	2702adb24e Apply YODA dataset setup	2 سال پیش
download_childes_corpora.py	b4fa96e143 add rmarkdown code	2 سال پیش
download_opensubtitles_corpora.py	24feb5e9fd opensubtitles downloader only phonemes	2 سال پیش
evaluate_language_models.py	202ad44f37 importing conda environment	2 سال پیش
get_most_probable_phonemes.py	b4fa96e143 add rmarkdown code	2 سال پیش
make_noiser.py	b4fa96e143 add rmarkdown code	2 سال پیش
one_utterance_per_line_to_json.py	b4fa96e143 add rmarkdown code	2 سال پیش
test_on_all_languages.py	f7c6ced59f add plot	2 سال پیش
train_language_models.sh	7ac48a81ab update readme	2 سال پیش
utterances_cleaner.py	b4fa96e143 add rmarkdown code	2 سال پیش

All custom code goes into this directory. All scripts should be written such that they can be executed from the root of the dataset, and are only using relative paths for portability.

datacite.yml
Title	Unsupervised metrics of child language development
Authors	Sy,Yaya;LSCP;ORCID:0000-0002-0292-451X
Description	Code to extract metrics of child language development from language models based on n-grams.
License	Creative Commons CC 4.0 By (https://creativecommons.org/licenses/by/4.0/)
References	Sy, Y. (2022, July 18). Vers des métriques non supervisées des compétences langagières des enfants. [doi:10.31219/osf.io/4pe2u] (IsSupplementTo)
Funding	ANR, ANR-17-EURE-0017 J. S. McDonnell Foundation, Understanding Human Cognition Scholar Award ERC, European Union’s Horizon 2020 research and innovation programme (ExELang, Grant agreement No. 101001095)
Keywords	Language acquisition Language models Development Children n-gram Metrics Entropy
Resource Type	Software

README.md